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--- geopro:raian:bibliografia:non_tob_geog_space [2009/10/22 00:47] – raian
+++ geopro:raian:bibliografia:non_tob_geog_space [2009/12/01 22:08] (atual) – raian
@@ Linha 2: / Linha 2: @@
 ====== Non-Toblerian Geographical Spaces ======
-|Câmara, G, Aguiar, A. P, Carneiro, T., Costa, S. S., Andrade-Neto, P., Monteiro, A. M. V., Amaral, S.| Non-Toblerian Geographical Spaces|Submetido - Comunicação Interna |
+|Câmara, G, Aguiar, A. P, Carneiro, T., Costa, S. S., Andrade-Neto, P., Monteiro, A. M. V., Amaral, S.| Submetido - Comunicação Interna |
 \\
@@ Linha 23: / Linha 23: @@
       * The analysis of empirical data for issues such as collaboration networks, disease spreading, and innovation diffusion is an important part of this theory.\\
       * Recent works have stressed the need to build a spatial expression of networks.\\
-      *
+      * But how social networks emerge? Most of them have prefferencial attachment, i. e., is more probable that new human settlements will appear close to a route than in other places where exist nothing, and new settlements induce to building new routes, which create conditions for new settlements, and so on. This show that networks have a structural effect in how geographical space is occupied, having cascade effect on shaping the spatial patterns. These preferential attachment cause a strong dependence between the elements presents in the space, and it's extreme form leads to a scale-free network described by an exponential distribution. Even in less extreme cases, it leads to relations strongly anisotropic, thus needing new methods to calculating proximity. In the most general case, all individual spatial relations need to be calculated separetely.\\
+      * GPM -> a method for general expression of proximity in non-Toblerian spaces.
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